Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

🚤 Boat Price Prediction App

A Machine Learning-powered web app to predict the price of boats based on various features. Built using Streamlit and trained with a Random Forest Regressor.


📌 Project Summary

  • Goal: Predict boat prices using input features such as type, condition, size, manufacturer, and engine details.
  • Model: Random Forest Regressor
  • Performance:
    • R² Score: 0.66
    • MAE: ₹16,649.80
    • RMSE: ₹87,984.53

About

A machine learning web app that predicts boat prices based on features like type, year, size, fuel type, and condition. Built with Streamlit and trained using a Random Forest Regressor, the app helps estimate fair market prices from historical boat listing data.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages